Accelerated Materials Discovery by Phil De Luna

Author:Phil De Luna
Language: eng
Format: epub
Publisher: De Gruyter
Published: 2021-11-01T06:28:16.799000+00:00

import numpy as np import matplotlib.pyplot as plt import random as random X = np.linspace(-2,10,100) # Generate an evenly-spaced domain N = 1000 # Number of fake spectra to generate all_spectra = [] # Set up list of spectra to populate A = np.random.uniform(0,1,N) B = np.random.uniform(-.5,.5,N) C = np.random.uniform(1,5,N) D = np.random.uniform(1,5,N) E = np.random.uniform(4,8,N) F = np.random.uniform(1,2,N) spectra = [] for n in range(10000): Y = toy_spectra(X,A[i],B[i],C[i],D[i],E[i],F[i]) spectra.append(Y) for y in spectra[:10]: plt.plot(X,y)

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